twilize

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses key behavioral traits: it discards runtime changes and reloads defaults from a YAML file, indicating a destructive reset operation. However, it lacks details on permissions needed, potential side effects on other configurations, or error handling, which are important for a mutation tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action in the first sentence, followed by clarifying details and return information. Every sentence earns its place: the first states the purpose, the second explains the process, and the third specifies the output. It is appropriately sized with zero waste, making it easy to scan and understand.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (a mutation with no annotations) and the presence of an output schema (which covers return values), the description is mostly complete. It explains what the tool does, when to use it, and the source of defaults. However, it could improve by mentioning any prerequisites or side effects, but the output schema mitigates some gaps by handling return values.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately omits parameter details, focusing on the tool's action and outcome. A baseline of 4 is applied since no parameters exist, and the description adds value by explaining the reset process without redundant schema repetition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('Reset') and resource ('all rules'), and distinguishes it from sibling tools by specifying it targets rules rather than other resources like dashboards, worksheets, or connections. It explicitly mentions discarding runtime changes from 'set_rule()', which is a sibling tool, reinforcing its distinct role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool: to revert to built-in defaults and discard changes made via 'set_rule()'. It provides clear context by naming the alternative ('set_rule()') and specifying the action (discarding runtime changes), making it evident when this tool is appropriate versus other rule-related operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.